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688 results for “Abstract”
Most common bigrams found within the abstracts
<p>Most common bigrams found within the abstracts, Part of the study "What do we mean by GenAI?"</p>
agroBRIDGES EIP-AGRI Practice Abstracts - Regional insights and business models for SFSC development
<p>The present dataset completed the collection of the 25 regional practice abstracts developed in the framework of the agroBRIDGES project, using the EIP-AGRI common format. The aim is to share project outputs so other actors of the agri-food sector can leverage on them and to see the main added value and benefits met by the end-users if the generated knowledge is implemented. The Practice Abstracts are also published on the EIP-AGRI website and available at this <strong><a href="https://ec.europa.eu/eip/agriculture/en/find-connect/projects/building-bridges-between-consumers-and-producers">link</a>. </strong></p> <p>The current (second) version of the dataset builds upon the previous set of Practice Abstracts generated in each of the 12 European focal countries of the project to share the project's knowledge and insights gained from co-creation, data collection, communication, toolbox validation and event organisation activities.</p> <p>These activities aim at promoting the development of Short Food Supply Chains, while motivating the local network of agri-food actors in the process (multi-actor approach). At least one Practice Abstract has been generated per Beacon Region (i.e. focal region of the agroBRIDGES project). The Practice Abstracts aim to support proactitioners in replicating our approaches and methodologies.</p> <p>2 Practice Abstracts have been elaborated per country (23 in total):</p> <ul> <li>Ireland</li> <li>Denmark</li> <li>Italy (Lazio & Piemonte regions)</li> <li>Greece (Central Macedonia region)</li> <li>Spain (Andalusia region)</li> <li>France (Pays de Loire, Auvergne and Bretagne regions)</li> <li>Poland</li> <li>Latvia</li> <li>Lithuania</li> <li>Turkey</li> <li>Finland</li> <li>Netherlands</li> </ul> <p>Additionally, 1 Practice Abstract was developed to present 5 business model categories of SFSC analysed in the context of agroBRIDGES. </p>
agroBRIDGES EIP-AGRI Practice Abstracts: A practical toolbox for SFSCs
<p>The present dataset is a collection of the practice abstracts developed in the framework of the agroBRIDGES project, using the EIP-AGRI common format. The aim is to share project outputs so other actors of the agri-food sector can leverage on them and to see the main added value and benefits met by the end-users if the generated knowledge is implemented. agroBRIDGES Practice Abstracts are also published on the EIP-AGRI website and available at this <strong><a href="https://ec.europa.eu/eip/agriculture/en/find-connect/projects/building-bridges-between-consumers-and-producers">link</a>. </strong></p> <p>The current (first) version of the present dataset contains 13 Practice Abstracts generated to to present the agroBRIDGES toolbox that encompasses a set of 12 practical tools for producers, farmers to develop and grow their business based on Short Food Supply Chains as well as other agri-food actors (retailers, wholesalers, distributors, public food procurers) to facilitate collaborations and awareness.</p> <p>The <a href="https://agrobridges-toolbox.eu">agroBRIDGES Toolbox</a> contains 4 types of tools fully translated in 12 local languages:</p> <ul> <li><strong>Communication material</strong> <ul> <li>Know your local food</li> <li>Label me </li> <li>#WeNeedLocalFood</li> <li>Why am I special?</li> <li>Yes, you can!</li> </ul> </li> <li><strong>Digital spaces / tools:</strong> <ul> <li>Decision Support Tool</li> <li>Hear my voice</li> <li>Net</li> <li>Smart Delivery</li> </ul> </li> <li><strong>Training material:</strong> <ul> <li>Support for food procurement</li> </ul> </li> <li><strong>Event organisation material:</strong> <ul> <li>Let's meet!</li> <li>Let' build our SFSC</li> </ul> </li> </ul> <p>A Practice Abstract has been developed for the agroBRIDGES Toolbox and each of the 12 provided tools, using the standard EIP-AGRI Practice Abstract template. All Practice Abstracts are also supported in video format, also available in the <a href="https://the agroBRIDGES Youtube channel">agroBRIDGES Youtube channel</a>. </p>
OHBM abstract 2020
Open the record for dataset details and reuse information.
CodiEsp-abstracs: Abstracts from Lilacs and Ibecs with ICD10 codes
<p>JSON file with abstracts from Lilacs and Ibecs with ICD10 codes (ICD10-CM and ICD10-PCS) associated to them (CIE10 in Spanish).</p> <p> </p> <p><strong>Please, cite us:</strong></p> <p>Miranda-Escalada, A., Gonzalez-Agirre, A., Armengol-Estapé, J., Krallinger, M.: Overview of automatic clinical coding: annotations, guidelines, and solutions for non-English clinical cases at CodiEsp track of eHealth CLEF 2020.<em> In: CLEF (Working Notes) (2020)</em></p> <pre><code>@inproceedings{miranda2020overview, </code> <code>title={Overview of automatic clinical coding: annotations, guidelines, and solutions for non-english clinical cases at codiesp track of CLEF eHealth 2020}, </code> <code>author={Miranda-Escalada, Antonio and Gonzalez-Agirre, Aitor and Armengol-Estap{\'e}, Jordi and Krallinger, Martin}, </code> <code>booktitle={Working Notes of Conference and Labs of the Evaluation (CLEF) Forum. CEUR Workshop Proceedings}, </code> <code>year={2020} }</code></pre> <p> </p> <p>Lilacs and Ibecs databases have MeSH terms describing some of their documents. Then, using UMLS Metathesaurus, those MeSH terms have been translated into ICD10 codes (ICD10-CM and ICD10-PCS). Every abstract have at least one ICD10 code. </p> <p>In addition, MeSH codes given by the databases (Lilacs and Ibecs) have a "word" describing them. These "words" have been used to add further ICD10 codes. We have done strict string matching to find whether those "words" were a descriptor of any ICD10 code (in the Spanish version, CIE10).</p> <p>The format of the JSON file is the following:</p> <pre>{'articles': [{'title': 'title', 'pmid': 'pmid', 'abstractText': 'abtract (in Spanish)', 'Mesh': [{'Code': 'MeSHCode', 'Word': 'reference', 'CIE': [CIE10_1, CIE10_2, ...]}, ...] }, ...] }</pre> <p> </p> <p>Additionally, the compressed file includes a folder with all the abstracts extracted in individual UTF-8 encoded text files and a tab-separated file with 4 fields:</p> <blockquote> <p>pmid label cie10-code word</p> </blockquote> <p>Summary statistics:</p> <ul> <li>number of abstracts: 355 840</li> <li>number abstracts with at least one ICD10 code: 176 294</li> <li>Percentage of MeSH codes mapped to ICD10: 10.6% (there were 2 526 772 MeSH codes and 266 949 mapped to ICD10)</li> <li>average number of MeSH codes per article: 7.1</li> <li>average number of ICD10 codes per article: 2.5</li> <li>number of ICD10 codes that have an associated MeSH code in UMLS: 3293</li> <li>number of ICD10 codes that have an associated MeSH code in UMLS and appear in this dataset: 3082</li> </ul>
Spanish abstracts from PubMed (machine-translated from English)
<p>Spanish abstracts from PubMed (machine-translated from English)</p> <p>A state-of-the-art, domain-specific Neural Machine Translation system has been used to automatically translate a large number of articles (titles and abstracts) from PubMed, from English to Spanish. This dataset, in JSON format, provides MeSH terms and DeCS codes (if available), as well as other fields such as the year of publication for all articles.</p> <p>Copyright (c) 2020 Secretaría de Estado de Digitalización e Inteligencia Artificial</p>
Higher Education Research: A Compilation of Journals and Abstracts 2016
<p>Revised dataset to original publication:</p> <p>Hertwig, Alexandra (2017): Higher Education Research: A Compilation of Journals and Abstracts 2016. Kassel: INCHER-Kassel. <a href="http://www.uni-kassel.de/einrichtungen/fileadmin/datas/einrichtungen/incher/Higher_Education_Research_-_A_Compilation_of_Journals_and_Abstracts_2016.pdf">http://www.uni-kassel.de/einrichtungen/fileadmin/datas/einrichtungen/incher/Higher_Education_Research_-_A_Compilation_of_Journals_and_Abstracts_2016.pdf</a> (accessed November 04, 2020)</p> <p>Datasets to volume 2013 to 2018 might vary with regard to covered journals of the original publication. The datasets include journals and respective publication data providing persistent identifiers, explicitly.</p> <p>The Research Information Service (RIS) of INCHER-Kassel, Germany provides annual compilation of academic journals since 2013. The datasets allow for further evaluation of single or multiple volumes. For more information on original publications and available datasets please visit INCHER’s RIS websites.</p> <p>http://www.uni-kassel.de/einrichtungen/en/incher/risspecial-research-library/ris-documents.html</p>
The influence of art expertise and training on emotion and preference ratings for representational and abstract artworks.
<p>Across cultures and throughout recorded history, humans have produced visual art. This raises the question of why people report such an emotional response to artworks and find some works more beautiful or compelling than others. In the current study we investigated the interplay between art expertise, and emotional and preference judgments. Sixty participants (40 novices, 20 art experts) rated a set of 150 abstract artworks and portraits during two occasions: in a laboratory setting and in a museum. Before commencing their second session, half of the art novices received a brief training on stylistic and art historical aspects of abstract art and portraiture. Results showed that art experts rated the artworks higher than novices on aesthetic facets (beauty and wanting), but no group differences were observed on affective evaluations (valence and arousal). The training session made a small effect on ratings of preference compared to the non-trained group of novices. Overall, these findings are consistent with the idea that affective components of art appreciation are less driven by expertise and largely consistent across observers, while more cognitive aspects of aesthetic viewing depend on viewer characteristics such as art expertise.</p>
Fig. 4. – Trichomes. A-D in A synoptic revision of the Malagasy endemic genus Socratina Balle (Loranthaceae). Candollea 69: 65-73. In English, English and French abstracts.
Fig. 4. – Trichomes. A-D: Socratina phillipsoniana Callm. & Luino; E-G: S. bemarivensis (Lecomte) Balle; H-J: S. keraudreniana Balle. A, E, H. Trichomes from the outer surface of the corolla tube: side view; B, F, I. Trichomes from the outer surface of the corolla tube: cross section; C, G, J. Trichome from the inner surface of the corolla tube: side view; D: Trichome from villous fringe of the corolla tube: side view. [A-D: Luino & Ranaivoarisoa 63, G; E-G: Ratovoson 105, P; H-K: Rakotomalaza & Messmer 1816, G] [Drawings: S. Da-Giau]
Fig. 3 in A synoptic revision of the Malagasy endemic genus Socratina Balle (Loranthaceae). Candollea 69: 65-73. In English, English and French abstracts.
Fig. 3. – Socratina phillipsoniana Callm. & Luino. A. Fertile branch with flowers and fruit; B. pex of open flower; C. Bud apex showing the fringe of trichomes along the sutures; D. Calyx and bract. [Luino & Ranaivoarisoa 63, G] [Drawings: S. Da-Giau]
Fig. 2. – Living plants. A in A synoptic revision of the Malagasy endemic genus Socratina Balle (Loranthaceae). Candollea 69: 65-73. In English, English and French abstracts.
Fig. 2. – Living plants. A. Socratina keraudreniana Balle; B. S. bemarivensis (Lecomte) Balle; C. S. phillipsoniana Callm. & Luino. [Photos: A: J. Bosser; B: F. Ratovoson; C: I. Luino]
Fig. 1 in A synoptic revision of the Malagasy endemic genus Socratina Balle (Loranthaceae). Candollea 69: 65-73. In English, English and French abstracts.
Fig. 1. – Map showing the distribution of Socratina bemarivensis (Lecomte) Balle (stars), S. keraudreniana Balle (squares) and S. phillipsoniana Callm. & Luino (circles) in Madagascar, plotted on the map of phytogeographical domains sensu HUMBERT (1955).
Abstract Emotives
<p>The exploration of black holes in other universes has long been the focus of<br>scientific fascination. This paper investigates the data-driven, abstract emotive<br>narrative that can be derived from the horizon structuring of such entities. We<br>formulate and solve a mathematical expression to describle the various compo-<br>nents of the system, while also taking into account factors such as anomalies,<br>gravity, and wave-particle interactions. The equation is then solved, leading<br>to a comprehensive set of equations that reveal the unique dynamics of black<br>holes in different universes and its associated abstraction. Finally, we discuss<br>potential implications of our results in the wider context of astrophysics and<br>cosmology.</p>
An Empirical Evaluation of Unsupervised Event Log Abstraction Techniques in Process Mining
<p>This upload contains the event logs, generated by L-Sim, on which the experiments of the related paper were performed.</p><p>The related paper is accepted in the journal Information Systems.</p>
Fig. 1 in Abstracts of the Immature Beetles Meeting 2021
Fig. 1. Most participants of the Immature Beetles Meeting 2021 during the lunch (Prague, 30th September).
Roman Rural Landscapes in Noricum (video abstract)
<p>The Roman province of Noricum (mostly today's Austria) was part of the Roman Empire from 15 BC to AD 488. Archaeologists continuously study specific areas of this province, mainly particular sites at the so-called Danube limes. Eventually, this practice resulted in enhanced knowledge of these specific sites, while, on the contrary, our archaeological knowledge about the rural settlement in the Roman province's hinterland remained understudied. This inadequate knowledge of rural settlement concerns mainly the section located in today's Lower Austria. Therefore, the dissertation project "Roman Rural Landscapes in Noricum: Archaeological Investigations on Roman Settlement in the Hinterland of Northern Noricum" by Dominik Hagmann deals with the archaeological settlement activities of the ripa Norica's hinterland and studies ancient settlement in a precisely defined area of investigation in the north of the former Roman province of Noricum.</p>
Timed abstractions for distributed cooperative manipulation
<p>The video presents a simulation experiment in the V-REP environment of the timed abstractions notion of cooperative manipulation. More specifically, given a discrete partition of the workspace, a timed plan is derived over this partition that satisfies a Metric Interval Temporal Logic (MITL) formula for an object. Two robotic agents transport the object cooperatively among the partitioned regions in a distributed manned, without communicating with each other, according to the derived timed plan.</p>
Figure 1: Abstract Meta-Model-UNDERSTANDING SERVICE COMPOSITION WITH NON-FUNCTIONAL PROPERTIES USING DECLARATIVE MODEL-TO-MODEL TRANSFORMATIONS
<p>To de¯ne the model we ¯rst de¯ned the abstract meta-model which con-<br> tains all the processes which can be used in the application model. These are<br> used to model the behaviour of the application (see Figure 1).</p>
Fig. 3 in Navigating through ocean literacy gaps: an analysis of elementary school textbooks in Croatian education Abstract
Fig. 3: Presence of ocean literacy principles (OLP) and concepts (OLC) in higher grades of the elementary school science textbooks in Croatia (grades 5-8). Results are presented as average occurrence and standard deviation of books analysed for each grade.
Fig. 7 in First record of Lepidonotus tenuisetosus (Annelida: Polynoidae) from Tunisia with distributional notes Abstract
Fig. 7: Lepidonotus clava from Greece. HCMR_Nag_ EL_01_2008_0185. A. Anterior end, dorsal view. B. Midbody elytron. C. Midbody elytrophorous parapodium. D. Midbody neurochaetae. HCMR_Nag_EL_01_2008_0194: E. Detail of midbody neurocheatae tips. Photos by G. Chatzigeorgiou.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.